CMPS 3000 - Computational Thinking and Problem Solving

Description
This course introduces computational problem-solving techniques, as well as fundamental concepts of data structures and the software design process. Widely used problem-solving techniques such as divide and conquer will be demonstrated, while other topics include dynamic programming, greedy algorithms, search and backtracking. Problems will come from various science disciplines. Programming concepts reviewed include data types, control structures, scope rules, functions and files. The mechanics of running, testing and debugging will also be revisited.

3 Credits

Time Guidelines
The standard instructional time for this course is 45 hours.